"The response was in Indonesian but shaped by values that centered individual autonomy over the consensus-building, social harmony and collective family dynamics that tend to matter more in Indonesian social life."
"Producing grammatically correct Indonesian, Arabic, Swahili or Hindi, however, does not change the underlying worldview through which these systems reason."
"Fluency is not the same as understanding, and large language models can now speak dozens of languages with remarkable fluency."
AI language models, while fluent in various languages, often reflect Western cultural assumptions in their responses. A conversation in Indonesian revealed that the advice given prioritized individual autonomy over collective family dynamics, which are more significant in Indonesian culture. This phenomenon, termed 'epistemological persistence,' indicates that fluency does not equate to cultural understanding. The underlying worldview of these models is influenced by training data primarily from English-language sources in the United States, leading to a mismatch in cultural context.
#ai-language-models #cultural-bias #epistemological-persistence #communication-strategies #cross-cultural-understanding
Read at The Conversation
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